MistarlingMaid 2x7B Base by dawn17

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MistarlingMaid 2x7B Base is an open-source language model by dawn17. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.14, Arc: 67.5, HellaSwag: 84.8, MMLU: 62.6, GSM8K: 56.

  Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

MistarlingMaid 2x7B Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MistarlingMaid 2x7B Base Parameters and Internals

LLM NameMistarlingMaid 2x7B Base
Repository 🤗https://huggingface.co/dawn17/MistarlingMaid-2x7B-base 
Model Size12.9b
Required VRAM25.8 GB
Updated2026-05-08
Maintainerdawn17
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to MistarlingMaid 2x7B Base

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Context / RAM
Downloads
Likes
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB60
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB101
NearalMistral 2x7B32K / 25.8 GB691
Megatron V3 2x7B32K / 25.8 GB713
MergedExpert 2x8b32K / 25.8 GB50
MergedExperts 2x8b32K / 25.8 GB60
...afted Hermetic Platypus C 2x7B32K / 25.8 GB940
...tral 7B Instruct V0.2 2x7B MoE32K / 25.8 GB11314
...tral Instruct MoE Experimental32K / 25.8 GB1002
Mistral 2x7b V0.132K / 25.8 GB101
Note: green Score (e.g. "73.2") means that the model is better than dawn17/MistarlingMaid-2x7B-base.

Rank the MistarlingMaid 2x7B Base Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a